Model comparison
Llama 2-70B vs Mistral Small 3.1
Mistral Small 3.1 is the stronger model overall, scoring 31.4 to 24.1 on the Noometry Index.
Last verified . 20 shared benchmarks.
Meta
Mistral AISummary
- They share 20 benchmarks with published results for both. Llama 2-70B scores higher in 0 categories and Mistral Small 3.1 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Mistral Small 3.1 leads 22.6 to 7.4.
- The biggest single-benchmark swing is GPQA Diamond: 26.3% for Llama 2-70B and 41.9% for Mistral Small 3.1.
Side by side
| Llama 2-70B | Mistral Small 3.1 | |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 24.1 | 31.4 |
| Released | 2023-07-18 | 2025-03-17 |
| Weights | Open | Open |
| Context window | — | 128K |
| Max output | — | 102K |
| Input $ / M tokens | — | $0.35 |
| Output $ / M tokens | — | $0.56 |
| Results tracked | 35 | 28 |
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Category by category
Coding Mistral Small 3.1 leads
Llama 2-70B: 30.8 (#281), Mistral Small 3.1: 37.7 (#175)
| Benchmark | Llama 2-70B | Mistral Small 3.1 |
|---|---|---|
| LMArena Coding | 1079 | 1309 |
Reasoning Mistral Small 3.1 leads
Llama 2-70B: 13.7 (#324), Mistral Small 3.1: 18.9 (#249)
| Benchmark | Llama 2-70B | Mistral Small 3.1 |
|---|---|---|
| LMArena Hard Prompts | 1073 | 1278 |
| Epoch Capabilities Index | 113.59 | 127.48 |
| Chess Puzzles | — | 1% |
| DTBench | 41.6% | — |
| BIG-Bench Hard | 64.9% | — |
| CommonsenseQA 2.0 | 50% | — |
| ForecastBench | 51.4 | — |
| HellaSwag | 85.3% | — |
| LAMBADA | 78.9% | — |
| PIQA | 82.8% | — |
| WinoGrande | 80.2% | — |
Math Mistral Small 3.1 leads
Llama 2-70B: 7.5 (#320), Mistral Small 3.1: 13.7 (#295)
| Benchmark | Llama 2-70B | Mistral Small 3.1 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0% | 3.9% |
| LMArena Math | 1091 | 1261 |
| Omni-MATH | — | 24.8% |
| MATH Level 5 | 3.3% | — |
| GSM8K | 69.6% | — |
Knowledge Mistral Small 3.1 leads
Llama 2-70B: 7.4 (#305), Mistral Small 3.1: 22.6 (#266)
| Benchmark | Llama 2-70B | Mistral Small 3.1 |
|---|---|---|
| GPQA Diamond | 26.3% | 41.9% |
| LMArena Expert | 1039 | 1258 |
| MMLU-Pro | — | 61% |
| GPQA (HELM) | — | 39.2% |
| ARC (AI2) Challenge | 78.3% | — |
| BoolQ | 88.6% | — |
| MMLU | 69.9% | — |
| OpenBookQA | 60.2% | — |
| TriviaQA | 87.6% | — |
Multimodal Not comparable
Llama 2-70B: —, Mistral Small 3.1: 32.6 (#93)
| Benchmark | Llama 2-70B | Mistral Small 3.1 |
|---|---|---|
| LMArena Vision | — | 1136 |
Multilingual Mistral Small 3.1 leads
Llama 2-70B: 27.9 (#269), Mistral Small 3.1: 41.4 (#204)
| Benchmark | Llama 2-70B | Mistral Small 3.1 |
|---|---|---|
| LMArena Non-English | 1045 | 1255 |
| LMArena Chinese | 994 | 1254 |
| LMArena French | 1089 | 1270 |
| LMArena German | 1041 | 1266 |
| LMArena Japanese | 927 | 1210 |
| LMArena Korean | 964 | 1206 |
| LMArena Russian | 1083 | 1263 |
| LMArena Spanish | 1142 | 1283 |
Instruction Following Mistral Small 3.1 leads
Llama 2-70B: 55.1 (#273), Mistral Small 3.1: 63.8 (#225)
| Benchmark | Llama 2-70B | Mistral Small 3.1 |
|---|---|---|
| LMArena Instruction Following | 1071 | 1264 |
| IFEval | — | 75% |
Long Context Mistral Small 3.1 leads
Llama 2-70B: 32.2 (#265), Mistral Small 3.1: 39.5 (#172)
| Benchmark | Llama 2-70B | Mistral Small 3.1 |
|---|---|---|
| LMArena Longer Query | 1062 | 1300 |
Writing & Preference Mistral Small 3.1 leads
Llama 2-70B: 32.5 (#274), Mistral Small 3.1: 37.2 (#254)
| Benchmark | Llama 2-70B | Mistral Small 3.1 |
|---|---|---|
| LMArena Text | 1115 | 1278 |
| LMArena Creative Writing | 1075 | 1253 |
| LMArena Multi-Turn | 1088 | 1270 |
| EQ-Bench Creative Writing | — | 761 |
| WildBench | — | 78.8% |
Frequently asked questions
Is Llama 2-70B better than Mistral Small 3.1?
Mistral Small 3.1 is the stronger model overall, scoring 31.4 to 24.1 on the Noometry Index.
Is Llama 2-70B or Mistral Small 3.1 better for coding?
Mistral Small 3.1 scores higher on coding benchmarks: 37.7 versus 30.8 in the Noometry coding category.
How many benchmarks do Llama 2-70B and Mistral Small 3.1 share?
20 benchmarks have published results for both models. Llama 2-70B has 35 scored results on Noometry and Mistral Small 3.1 has 28.